Miles Lubin

According to our database, Miles Lubin authored at least 32 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Infeasibility Detection with Primal-Dual Hybrid Gradient for Large-Scale Linear Programming.

David L. Applegate, Mateo Díaz, Haihao Lu, Miles Lubin

SIAM J. Optim., March, 2024

Shapes and recession cones in mixed-integer convex representability.

Ilias Zadik, Miles Lubin, Juan Pablo Vielma

Math. Program., March, 2024

2023

JuMP 1.0: recent improvements to a modeling language for mathematical optimization.

Miles Lubin, Oscar Dowson, Joaquim Dias Garcia, Joey Huchette, Benoît Legat, Juan Pablo Vielma

Math. Program. Comput., September, 2023

Faster first-order primal-dual methods for linear programming using restarts and sharpness.

David L. Applegate, Oliver Hinder, Haihao Lu, Miles Lubin

Math. Program., 2023

2022

Mixed-Integer Convex Representability.

Miles Lubin, Juan Pablo Vielma, Ilias Zadik

Math. Oper. Res., 2022

MathOptInterface: A Data Structure for Mathematical Optimization Problems.

Benoît Legat, Oscar Dowson, Joaquim Dias Garcia, Miles Lubin

INFORMS J. Comput., 2022

JuMP 1.0.

Miles Lubin, Oscar Dowson, Joaquim Dias Garcia, Joey Huchette, Benoît Legat, Juan Pablo Vielma

CoRR, 2022

The Machine Learning for Combinatorial Optimization Competition (ML4CO): Results and Insights.

Maxime Gasse, Quentin Cappart, Jonas Charfreitag, Laurent Charlin, Didier Chételat, Antonia Chmiela, Justin Dumouchelle, Ambros M. Gleixner, Aleksandr M. Kazachkov, Elias B. Khalil, Pawel Lichocki, Andrea Lodi, Miles Lubin, Chris J. Maddison, Christopher Morris, Dimitri J. Papageorgiou, Augustin Parjadis, Sebastian Pokutta, Antoine Prouvost, Lara Scavuzzo, Giulia Zarpellon, Linxin Yang, Sha Lai, Akang Wang, Xiaodong Luo, Xiang Zhou, Haohan Huang, Sheng Cheng Shao, Yuanming Zhu, Dong Zhang, Tao Quan, Zixuan Cao, Yang Xu, Zhewei Huang, Shuchang Zhou, Binbin Chen, Minggui He, Hao Hao, Zhiyu Zhang, Zhiwu An, Kun Mao

CoRR, 2022

2021

The Machine Learning for Combinatorial Optimization Competition (ML4CO): Results and Insights.

Maxime Gasse, Simon Bowly, Quentin Cappart, Jonas Charfreitag, Laurent Charlin, Didier Chételat, Antonia Chmiela, Justin Dumouchelle, Ambros M. Gleixner, Aleksandr M. Kazachkov, Elias B. Khalil, Pawel Lichocki, Andrea Lodi, Miles Lubin, Chris J. Maddison, Christopher Morris, Dimitri J. Papageorgiou, Augustin Parjadis, Sebastian Pokutta, Antoine Prouvost, Lara Scavuzzo, Giulia Zarpellon, Linxin Yang, Sha Lai, Akang Wang, Xiaodong Luo, Xiang Zhou, Haohan Huang, Sheng Cheng Shao, Yuanming Zhu, Dong Zhang, Tao Quan, Zixuan Cao, Yang Xu, Zhewei Huang, Shuchang Zhou, Binbin Chen, Minggui He, Hao Hao, Zhiyu Zhang, Zhiwu An, Kun Mao

Proceedings of the NeurIPS 2021 Competitions and Demonstrations Track, 2021

Synthetic Design: An Optimization Approach to Experimental Design with Synthetic Controls.

Nick Doudchenko, Khashayar Khosravi, Jean Pouget-Abadie, Sébastien Lahaie, Miles Lubin, Vahab S. Mirrokni, Jann Spiess, Guido Imbens

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Practical Large-Scale Linear Programming using Primal-Dual Hybrid Gradient.

David L. Applegate, Mateo Díaz, Oliver Hinder, Haihao Lu, Miles Lubin, Brendan O'Donoghue, Warren Schudy

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Outer approximation with conic certificates for mixed-integer convex problems.

Chris Coey, Miles Lubin, Juan Pablo Vielma

Math. Program. Comput., 2020

Reinforced Genetic Algorithm Learning for Optimizing Computation Graphs.

Aditya Paliwal, Felix Gimeno, Vinod Nair, Yujia Li, Miles Lubin, Pushmeet Kohli, Oriol Vinyals

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

REGAL: Transfer Learning For Fast Optimization of Computation Graphs.

Aditya Paliwal, Felix Gimeno, Vinod Nair, Yujia Li, Miles Lubin, Pushmeet Kohli, Oriol Vinyals

CoRR, 2019

2018

On efficient Hessian computation using the edge pushing algorithm in Julia.

Cosmin G. Petra, Feng Qiang, Miles Lubin, Joey Huchette

Optim. Methods Softw., 2018

Polyhedral approximation in mixed-integer convex optimization.

Miles Lubin, Emre Yamangil, Russell Bent, Juan Pablo Vielma

Math. Program., 2018

Chance Constraints for Improving the Security of AC Optimal Power Flow.

Miles Lubin, Yury Dvorkin, Line Roald

CoRR, 2018

2017

JuMP: A Modeling Language for Mathematical Optimization.

Iain Dunning, Joey Huchette, Miles Lubin

SIAM Rev., 2017

Extended formulations in mixed integer conic quadratic programming.

Juan Pablo Vielma, Iain Dunning, Joey Huchette, Miles Lubin

Math. Program. Comput., 2017

PowerModels.jl: An Open-Source Framework for Exploring Power Flow Formulations.

Carleton Coffrin, Russell Bent, Kaarthik Sundar, Yeesian Ng, Miles Lubin

CoRR, 2017

2016

Forward-Mode Automatic Differentiation in Julia.

Jarrett Revels, Miles Lubin, Theodore Papamarkou

CoRR, 2016

Reformulation versus cutting-planes for robust optimization.

Dimitris Bertsimas, Iain Dunning, Miles Lubin

Comput. Manag. Sci., 2016

Unit commitment with N-1 Security and wind uncertainty.

Kaarthik Sundar, Harsha Nagarajan, Miles Lubin, Line Roald, Sidhant Misra, Russell Bent, Daniel Bienstock

Proceedings of the Power Systems Computation Conference, 2016

Extended Formulations in Mixed-Integer Convex Programming.

Miles Lubin, Emre Yamangil, Russell Bent, Juan Pablo Vielma

Proceedings of the Integer Programming and Combinatorial Optimization, 2016

2015

A Course on Advanced Software Tools for Operations Research and Analytics.

Iain Dunning, Vishal Gupta, Angela King, Jerry Kung, Miles Lubin, John Silberholz

INFORMS Trans. Educ., 2015

Computing in Operations Research Using Julia.

Miles Lubin, Iain Dunning

INFORMS J. Comput., 2015

2014

An Augmented Incomplete Factorization Approach for Computing the Schur Complement in Stochastic Optimization.

Cosmin G. Petra, Olaf Schenk, Miles Lubin, Klaus Gärtner

SIAM J. Sci. Comput., 2014

Parallel algebraic modeling for stochastic optimization.

Joey Huchette, Miles Lubin, Cosmin G. Petra

Proceedings of the 1st First Workshop for High Performance Technical Computing in Dynamic Languages, 2014

2013

On parallelizing dual decomposition in stochastic integer programming.

Miles Lubin, R. Kipp Martin, Cosmin G. Petra, Burhaneddin Sandikçi

Oper. Res. Lett., 2013

Parallel distributed-memory simplex for large-scale stochastic LP problems.

Miles Lubin, J. A. Julian Hall, Cosmin G. Petra, Mihai Anitescu

Comput. Optim. Appl., 2013

2012

The parallel solution of dense saddle-point linear systems arising in stochastic programming.

Miles Lubin, Cosmin G. Petra, Mihai Anitescu

Optim. Methods Softw., 2012

2011

Scalable stochastic optimization of complex energy systems.

Miles Lubin, Cosmin G. Petra, Mihai Anitescu, Victor M. Zavala

Proceedings of the Conference on High Performance Computing Networking, 2011